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Development and evaluation of a spoken dialog system-mediated paired oral task for measuring second language oral communication ability in English
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In: Graduate Theses and Dissertations (2020)
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Multimodal continuous turn-taking prediction using multiscale RNNs ; ICMI 2018 - 20th ACM International Conference on Multimodal Interaction
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Προσωδιακή πραγμάτωση της πληροφοριακής δομής στα ελληνικά ... : Prosodic realization of information structure in greek ...
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Measuring the differences between human-human and human-machine dialogs
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In: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal; Vol. 4 No. 2 (2015); 99-112 ; ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal; Vol. 4 Núm. 2 (2015); 99-112 ; 2255-2863 ; 10.14201/ADCAIJ201542 (2015)
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Statistical Dialog Management for Health Interventions
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In: FIU Electronic Theses and Dissertations (2014)
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The User Model-Based Summarize and Re_ne Approach Improves Information Presentation in Spoken Dialog Systems
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: Elsevier, 2012
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On the Use of Machine Translation for Spoken Language Understanding Portability
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In: IEEE International Conference on Acoustics, Speech, and Signal Processing ; https://hal.inria.fr/inria-00523967 ; IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Mar 2010, Dallas, Texas, United States. pp.5330 - 5333, ⟨10.1109/ICASSP.2010.5494960⟩ ; http://ieeexplore.ieee.org/iel5/5487364/5494886/05494960.pdf (2010)
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The User Model-Based Summarize and Re_ne Approach Improves Information Presentation in Spoken Dialog Systems
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In: ISSN: 0885-2308 ; EISSN: 1095-8363 ; Computer Speech and Language ; https://hal.archives-ouvertes.fr/hal-00692184 ; Computer Speech and Language, Elsevier, 2010, 25 (2), pp.175. ⟨10.1016/j.csl.2010.04.003⟩ (2010)
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Error Awareness and Recovery in Conversational Spoken Language Interfaces
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In: DTIC (2007)
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Spoken Dialogue for Simulation Control and Conversational Tutoring
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In: DTIC (2004)
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Automated Tutoring Dialogues for Training in Shipboard Damage Control
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In: DTIC (2001)
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Abstract:
This paper describes an application of state-of-the-art spoken language technology (OAA/Gemini/Nuance) to a new problem domain: engaging students in automated tutorial dialogs to evaluate and improve their performance in a training simulator. Shipboard damage control refers to the task of containing the effects of fire, explosions, hull breaches, flooding, and other critical events that can occur aboard Naval vessels. The high-stakes, high-stress nature of this task, together with limited opportunities for real-life training, make damage control an ideal target for artificial intelligence-enabled educational technologies like training simulators and tutoring systems. The simulator used in this study is DC-TRAIN, an immersive, multimedia training environment for damage control. DC-TRAIN's training scenarios simulate a mixture of physical phenomena (e.g., fire, flooding) and personnel issues (e.g., casualties, communications, standardized procedures). The current tutoring system is restricted to fire damage scenarios only, and in particular to the 12 fire scenarios available in DC-TRAIN version 2.5, but in future versions the authors plan to support post-session critiques for all of the damage phenomena that will be modeled by DC-TRAIN 4.0: fire, flooding, missile damage, and wall or firemain ruptures. ; The original document contains color images.
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Keyword:
*AUTOMATED TUTORING SYSTEMS; *AUTOMATION; *DAMAGE CONTROL; *EXPERT SYSTEMS; *NAVAL TRAINING; *SHIP PERSONNEL; *SIMULATORS; *VOICE COMMUNICATIONS; AUTOMATED CRITIQUES; CRISIS MANAGEMENT; Cybernetics; DC TRAIN 2.5 SIMULATOR; Equipment and Methods; GEMINI GRAMMAR; INTELLIGENT TUTORING SYSTEMS; INTERACTIONS; Linguistics; Marine Engineering; NATURAL LANGUAGE; NATURAL LANGUAGE PROCESSING; NAVAL PERSONNEL; NAVAL VESSELS; NUANCE SPEECH RECOGNIZER; OAA(OPEN AGENT ARCHITECTURE); PARSERS; PERFORMANCE(HUMAN); SHIP FIRES; SHIPBOARD; SHIPBOARD DAMAGE CONTROL; SIMULATION; SPEECH RECOGNITION; SPOKEN DIALOG SYSTEMS; Test Facilities; TRAINING DEVICES; TRAINING SIMULATORS; Voice Communications
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA459671
http://www.dtic.mil/docs/citations/ADA459671
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Detection and Correction of Repairs in Human-Computer Dialog
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In: DTIC (1992)
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ON THE USE OF MACHINE TRANSLATION FOR SPOKEN LANGUAGE UNDERSTANDING PORTABILITY
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In: http://www-lium.univ-lemans.fr/%7Eservan/publications/Servan_ICASSP2010.pdf
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SPEECH RECOGNITION FOR A TRAVEL RESERVATION SYSTEM
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In: http://people.sabanciuniv.edu/~haerdogan/pubs/erdogan01srf.pdf
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